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Description
AGUJA PARA BIOPSIA DE HUESOCON MANGO Y DOS MANDRILES RANURADOS CAL 10 G LONG 25 CMMODELO WESTEERMAND.
IMSS product code
060.040.0097.10
Each circle represents one of the 4 purchases of AGUJAS made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. Traumatología "Dr. Victorio De La Fuente Narváez" Umae Trauma Y Orto M.s. "dr. Victorio De La Fuente Narvaez" (d.f. Nort | Ciudad de México | 3 | 144,512.8 MXN | 45,866.1 MXN | 82.6 % | 24.9 | 28 de mayo de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 4,872 MXN | - MXN | - | - | 23 de diciembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ORTHOBIOS, SA DE CV | 3 | 45,866.1 MXN | 82.6 % | 24.9 | 2011 - 2014 |
| MEDICA INTEGRAL HDM S.A DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.040.0097.10")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.040.0097.10')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.040.0097.10')